与其尝试使用 re 将 cmets 中的所有 HTML 放入您的 HTML 中,不如使用 BeautifulSoup 从 HTML 中返回 cmets。然后也可以使用 BeautifulSoup 解析这些,以根据需要提取任何表格元素,例如:
import requests
from bs4 import BeautifulSoup, Comment
html = requests.get("http://www.basketball-reference.com/leagues/NBA_2016.html").content
soup = BeautifulSoup(html, "html.parser")
for comment in soup.find_all(text=lambda t : isinstance(t, Comment)):
comment_html = BeautifulSoup(comment, "html.parser")
for table in comment_html.find_all("table"):
for tr in table.find_all("tr"):
row = [td.text for td in tr.find_all("td")]
print(row)
print()
这会给你表格中的行开始:
['Finals', 'Cleveland Cavaliers \nover \nGolden State Warriors\n\xa0(4-3)\n', 'Series Stats']
['\n\n\nGame 1\nThu, June 2\nCleveland Cavaliers\n89@ Golden State Warriors\n104\n\nGame 2\nSun, June 5\nCleveland Cavaliers\n77@ Golden State Warriors\n110\n\nGame 3\nWed, June 8\nGolden State Warriors\n90@ Cleveland Cavaliers\n120\n\nGame 4\nFri, June 10\nGolden State Warriors\n108@ Cleveland Cavaliers\n97\n\nGame 5\nMon, June 13\nCleveland Cavaliers\n112@ Golden State Warriors\n97\n\nGame 6\nThu, June 16\nGolden State Warriors\n101@ Cleveland Cavaliers\n115\n\nGame 7\nSun, June 19\nCleveland Cavaliers\n93@ Golden State Warriors\n89\n\n\n', 'Game 1', 'Thu, June 2', 'Cleveland Cavaliers', '89', '@ Golden State Warriors', '104', 'Game 2', 'Sun, June 5', 'Cleveland Cavaliers', '77', '@ Golden State Warriors', '110', 'Game 3', 'Wed, June 8', 'Golden State Warriors', '90', '@ Cleveland Cavaliers', '120', 'Game 4', 'Fri, June 10', 'Golden State Warriors', '108', '@ Cleveland Cavaliers', '97', 'Game 5', 'Mon, June 13', 'Cleveland Cavaliers', '112', '@ Golden State Warriors', '97', 'Game 6', 'Thu, June 16', 'Golden State Warriors', '101', '@ Cleveland Cavaliers', '115', 'Game 7', 'Sun, June 19', 'Cleveland Cavaliers', '93', '@ Golden State Warriors', '89']
['Game 1', 'Thu, June 2', 'Cleveland Cavaliers', '89', '@ Golden State Warriors', '104']
['Game 2', 'Sun, June 5', 'Cleveland Cavaliers', '77', '@ Golden State Warriors', '110']
['Game 3', 'Wed, June 8', 'Golden State Warriors', '90', '@ Cleveland Cavaliers', '120']
['Game 4', 'Fri, June 10', 'Golden State Warriors', '108', '@ Cleveland Cavaliers', '97']
注意:为避免获得cannot use a string pattern on a bytes-like object,您可以使用.text 而不是.content 将字符串传递给您的正则表达式。